About this role:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist.

MRM operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate as a Lead Quantitative Analytics Specialist is expected to be self- motivated, require minimal supervision, and produce model validation work that is consistent with MRM recognized high standards. Effective model validation work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges, benchmarking, stress testing, sensitivity analysis of Business Planning and FP&A models, including capacity plan models, fraud loss expense models, Healthcare expense models, and ATM Simulation models. It further requires strength in writing detailed standard analytical reports to ensure Wells Fargo’s compliance with governance policies and regulations. Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring. These documents are read by a broad audience, including auditors and regulators.

In this role, you will:

• Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory
• Qualify monitor markets and forecast credit and operational risks
• Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
• Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis
• Review and assess models inclusive of technical, audit, and market perspectives
• Identify structure and scope of review
• Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models
• Collaborate and consult with regulators and auditors
• Present results of analysis and strategies

Required Qualifications:

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• 5+ years of experience in model validation or model development with minimum Masters/Phd in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
• Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as stochastic calculus, differential equations, linear algebra, applied probability, and statistics (Logistic regression, Time Series, Optimization Techniques and Machine learning techniques including supervised and unsupervised);
• Familiarity in one or more of the following areas: Business Planning Risk Management, FP&A models, including capacity plan models, fraud loss expense models, Healthcare expense models, and ATM Simulation models Predictive modelling with Logistic regression, Time Series, Optimization Techniques and Machine learning techniques.
• Strong mathematical, statistical, analytical and computational skills along with programming skills
• Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
• Ability to work independently on complex model validations from start to finish
• Attention to detail in both analytics and documentation
• Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
• Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective
• Intellectually curious, who enjoy solving problems.

Job Expectations:

• Performing model validations and clearly documenting evidence of validation activities
• Develop benchmarking and alternative models in Python/SAS
• Conducting model replication and review of model documentation
• Providing effective challenge to models developed in/for the lines of business, including identifying conceptual weaknesses in a model and understanding tradeoffs with other approaches
• Managing and mitigating model risk to meet or exceed regulatory and industry standards
• Providing leadership and consultation to less experienced validators and business partners
• Communicating model risk findings and limitations to key stakeholders
• Contributing to the improvement of model building and model use practices
• Providing analytical support and offering insights regarding a wide array of business initiatives
• Interacting with senior management and regulators on key modeling issues, including the identification, management, and mitigation of model risk
• Proactively following the industry trend to apply and develop new technology as part of R&D to improve efficiency

Posting End Date:

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.